中文摘要：

针对当前精细农业对农田信息快速采集的需求,本研究提出了基于土壤粗糙度预测表层土壤孔隙率的方法,而采用何种量化指数表征土壤粗糙度是深化研究的关键.本文首先系统总结了几种已有的衡量土壤粗糙度的量化指数,进而提出一种新的基于小尺度的土壤粗糙度指数Rd.根据对4种不同耕作方式下应用地面激光扫描仪获取的原始试验数据进行初步处理,并将4种粗糙度量化指数与表层土壤孔隙率的相关性做了比较研究,得出了两个重要结论：（1）与其它粗糙度量化指数相比,Rd与表层土壤孔隙率的相关性最高（R2=0.752）;（2）基于激光扫描方法快速分析表层土壤孔隙率具有潜在的应用价值.

英文摘要：

In order to meet the requirement of precision fanning for fast acquiring soil surface information in the field, laser profiler is proposed for indirectly estimating the surface porosity by roughness measurement. With a general review of different roundness indices utilized, this study presented a new index at a fine-scale ,which related surface roughness to porosity. Moreover,an experiment with four tillage styles was conducted at an experimental field of University, Bonn. By statistical analysis, the results demonstrate that Rd is a meaningful indictor related surface porosity to roughness ,and,the proposed index fit a linear relationship between the measured surface roughness and porosity with R^2 =0. 752 ,which is significantly higher than those of other indices. Therefore ,the laser profiler is a potential tool for quick estimation of surface porosity in-situ.